A review of novelty detection
An assessment of algorithms to estimate respiratory rate from the electrocardiogram and photoplethysmogram
- P. Charlton, T. Bonnici, L. Tarassenko, D. Clifton, R. Beale, P. Watkinson
- Computer Science, MedicinePhysiological Measurement
- 30 March 2016
The primary aim was to determine how closely algorithms agreed with a gold standard RR measure when operating under ideal conditions, and to provide a toolbox of algorithms and data to allow future researchers to conduct reproducible comparisons of algorithms.
Toward a Robust Estimation of Respiratory Rate From Pulse Oximeters
- Marco A. F. Pimentel, A. Johnson, D. Clifton
- Computer ScienceIEEE Transactions on Biomedical Engineering
- 1 August 2017
This work demonstrates that the use of large publicly available datasets is essential for improving the robustness of wearable-monitoring algorithms for use in clinical practice.
Breathing Rate Estimation From the Electrocardiogram and Photoplethysmogram: A Review
- P. Charlton, Drew A. Birrenkott, D. Clifton
- Computer ScienceIEEE Reviews in Biomedical Engineering
- 24 October 2017
A review of the literature on BR estimation from the ECG and PPG signals is presented, and the most pressing directions for future research are outlined, including the steps required to use BR algorithms in wearable sensors, remote video monitoring, and clinical practice.
A Multivariate Timeseries Modeling Approach to Severity of Illness Assessment and Forecasting in ICU with Sparse, Heterogeneous Clinical Data
- M. Ghassemi, Marco A. F. Pimentel, M. Feng
- MedicineAAAI Conference on Artificial Intelligence
- 25 January 2015
This work evaluates the use of multivariate timeseries modeling with the multi-task Gaussian process (GP) models using noisy, incomplete, sparse, heterogeneous and unevenly-sampled clinical data, including both physiological signals and clinical notes to assess and forecast patient acuity.
Non-contact video-based vital sign monitoring using ambient light and auto-regressive models
- L. Tarassenko, M. Villarroel, A. Guazzi, J. Jorge, D. Clifton, C. Pugh
- MedicinePhysiological Measurement
- 1 May 2014
This work has devised a novel method of cancelling out aliased frequency components caused by artificial light flicker, using auto-regressive (AR) modelling and pole cancellation, and has been able to construct accurate maps of the spatial distribution of heart rate and respiratory rate information from the coefficients of the AR model.
Whole-genome sequencing for prediction of Mycobacterium tuberculosis drug susceptibility and resistance: a retrospective cohort study
Signal-Quality Indices for the Electrocardiogram and Photoplethysmogram: Derivation and Applications to Wireless Monitoring
- C. Orphanidou, T. Bonnici, P. Charlton, D. Clifton, D. Vallance, L. Tarassenko
- Computer ScienceIEEE journal of biomedical and health informatics
- 1 May 2015
A signal quality index (SQI) is presented, intended to assess whether reliable heart rates can be obtained from electrocardiogram and photoplethysmogram signals collected using wearable sensors and how an SQI can be used to reduce the error in the estimation of respiratory rate (RR) from the PPG.
Machine Learning and Decision Support in Critical Care
- A. Johnson, M. Ghassemi, S. Nemati, K. Niehaus, D. Clifton, G. Clifford
- Computer ScienceProceedings of the IEEE
- 25 January 2016
A range of applications addressing the collection and preprocessing of critical care data are covered, including the modernization of static acuity scoring; online patient tracking; personalized prediction and risk assessment; artifact detection; state estimation; and incorporation of multimodal data sources such as genomic and free text data.
Identifying lineage effects when controlling for population structure improves power in bacterial association studies
This paper demonstrates its ability to detect genes and genetic variants underlying resistance to 17 antimicrobials in 3,144 isolates from four taxonomically diverse clonal and recombining bacteria and reveals a candidate association between the outer membrane porin nmpC and cefazolin resistance in E. coli.